Triple

T19806276
Position Surface form Disambiguated ID Type / Status
Subject Richard Mather E475819 entity
Predicate spouse P13 FINISHED
Object Katherine Hoult NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Katherine Hoult | Statement: [Richard Mather, spouse, Katherine Hoult]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katherine Hoult
Context triple: [Richard Mather, spouse, Katherine Hoult]
  • A. Katherine Hoult chosen
    Katherine Hoult is known as the spouse of Richard Mather.
  • B. Rosanna Hoult
    Rosanna Hoult is a British actress known for her work in film and television and as the sister of actor Nicholas Hoult.
  • C. Olivia Cooke
    Olivia Cooke is an English actress known for her roles in films like "Ready Player One" and the TV series "Bates Motel" and "House of the Dragon."
  • D. Sophia Di Martino
    Sophia Di Martino is a British actress best known for her role as Sylvie in the Marvel series "Loki" and for appearances in films and television including the romantic comedy "Yesterday."
  • E. Alexandra Astin
    Alexandra Astin is an American actress and the daughter of actor Sean Astin, known for her small role in "The Lord of the Rings: The Return of the King."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65428081c8190b394c442f4c2a9a6 completed April 20, 2026, 4:28 p.m.
Created at: April 10, 2026, 1:49 p.m.